[ https://issues.apache.org/jira/browse/FLINK-6047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Fabian Hueske closed FLINK-6047. -------------------------------- Resolution: Implemented Implemented for 1.3.0 > Add support for Retraction in Table API / SQL > --------------------------------------------- > > Key: FLINK-6047 > URL: https://issues.apache.org/jira/browse/FLINK-6047 > Project: Flink > Issue Type: New Feature > Components: Table API & SQL > Reporter: Shaoxuan Wang > Assignee: Shaoxuan Wang > Priority: Critical > Fix For: 1.3.0 > > > [Design doc]: > https://docs.google.com/document/d/18XlGPcfsGbnPSApRipJDLPg5IFNGTQjnz7emkVpZlkw > [Introduction]: > "Retraction" is an important building block for data streaming to refine the > early fired results in streaming. “Early firing” are very common and widely > used in many streaming scenarios, for instance “window-less” or unbounded > aggregate and stream-stream inner join, windowed (with early firing) > aggregate and stream-stream inner join. There are mainly two cases that > require retractions: 1) update on the keyed table (the key is either a > primaryKey (PK) on source table, or a groupKey/partitionKey in an aggregate); > 2) When dynamic windows (e.g., session window) are in use, the new value may > be replacing more than one previous window due to window merging. > To the best of our knowledge, the retraction for the early fired streaming > results has never been practically solved before. In this proposal, we > develop a retraction solution and explain how it works for the problem of > “update on the keyed table”. The same solution can be easily extended for the > dynamic windows merging, as the key component of retraction - how to refine > an early fired results - is the same across different problems. > [Proposed Jiras]: > Implement decoration phase for rewriting predicated logical plan after > volcano optimization phase > Implement optimizer for retraction and turn on retraction for over window > aggregate > Implement and turn on the retraction for grouping window aggregate > Implement and turn on retraction for table source > Implement and turn on retraction for table sink > Implement and turn on retraction for stream-stream inner join > Implement the retraction for the early firing window > Implement the retraction for the dynamic window with early firing -- This message was sent by Atlassian JIRA (v6.3.15#6346)